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Tesis Doctoral
Coalitional model predictive control: Optimization, heuristics, and robustness
(2023-06-05)
This doctoral thesis focuses on coalitional techniques for controllers based on model predictive control (MPC). These controllers are considered agents that form coalitions to collaborate in the control of the overall ...
Artículo
Hierarchical set-point optimization and feedforward strategy for collector defocusing of a solar plant
(Springer, 2021)
One of the main control objectives in parabolic trough solar thermal plants is to maintain the outlet temperature around an operating point. For this, a synthetic oil flow is used as the main control variable. However, ...
Artículo
Sea trial results of a predictive algorithm at the Mutriku Wave power plant and controllers assessment based on a detailed plant model
(Elsevier, 2020)
Improving the power production in wave energy plants is essential to lower the cost of energy production from this type of installations. Oscillating Water Column is among the most studied technologies to convert the wave ...
Artículo
Control predictivo de sistemas ciberfísicos
(Universitat Politècnica de València, 2022)
El control predictivo engloba a una familia de controladores que replanifican continuamente las entradas del sistema durante un cierto horizonte temporal con el fin de optimizar su evolución esperada conforme a un criterio ...
Artículo
Coalitional Model Predictive Control on Freeways Traffic Networks
(IEEE (Institute of Electrical and Electronics Engineers), 2020)
This paper discusses the application of coalitional model predictive control (MPC) to freeways traffic networks, where the goal is reducing the time spent by the drivers through a dynamic setting of variable speed limits ...
Ponencia
Chance-constrained MPC for voronoi-based multi-agent system deployment
(Elsevier B.V., 2020)
This paper proposes a new chance-constrained model predictive control (CCMPC) algorithm with state estimation applied to the two-dimensional deployment of a multi-vehicle system where each agent is subject to process noise ...
Artículo
Artificial neural network-based fault detection and isolation in a parabolic-trough solar plant with defocusing strategy
(Elsevier, 2023)
Fault detection is crucial for ensuring optimal operation and maintenance of solar plants. This paper proposes a methodology for fault detection and isolation using artificial neural networks (ANNs) in a model of a 50 MW ...
Artículo
A Linear Programming Approach to Computing Safe Sets for Software Rejuvenation
(IEEE (Institute of Electrical and Electronics Engineers), 2021)
Software rejuvenation was born to fix operating system faults by periodically refreshing the run-time code and data. This mechanism has been extended to protect control systems from cyber-attacks. This letter proposes a ...
Ponencia
A New ℓ-step Neighbourhood Distributed Moving Horizon Estimator
(IEEE, 2021-12)
This paper focuses on Distributed State Estimation over a peer-to-peer sensor network composed by possible low-computational sensors. We propose a new ℓ-step Neighbourhood Distributed Moving Horizon Estimation technique ...
Tesis Doctoral
Contributions to distributed MPC: coalitional and learning approaches
(2022-09-06)
A growing number of works and applications are consolidating the research area of distributed control with partial and varying communication topologies. In this context, many of the works included in this thesis focus on ...